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Visibility Enhancement of Mobile Device by Adaptive Brightness Adjustment According to App Image Features

机译：通过根据应用程序图像功能进行自适应亮度调整来增强移动设备的可见性

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摘要

The visibility of images displayed on mobile devices can vary significantly according to the lighting conditions. Generally, the brightness of a mobile device is adjusted to enhance the visibility according to the intensity of the illumination. However, different brightness settings can be more suitable for different types of content, even under the same illumination. Accordingly, this article presents a method for adjusting the device brightness according to the features of the displayed app image. First, two subjective tests are performed under various lighting conditions to select the features related to the visibility of several app screenshots and to select a satisfactory range of device brightness for the same app screenshots. The relationship between the app image features and the satisfactory brightness levels is then analyzed. Thereafter, the images are categorized using two features: the average luminance and the advancing color ratio related to satisfactory brightness. The optimal device brightness for each category is then selected based on the maximum frequency of satisfactory device brightness. Experimental results show that the categorized app images with the optimal device brightness produce a high satisfaction ratio under various lighting conditions. (C) 2015 Society for Imaging Science and Technology.
机译：根据照明条件，显示在移动设备上的图像的可见性可能会发生很大变化。通常，根据照明强度来调节移动设备的亮度以增强可视性。但是，即使在相同的照明条件下，不同的亮度设置也可能更适合于不同类型的内容。因此，本文提出了一种根据显示的应用程序图像的特征来调整设备亮度的方法。首先，在各种光照条件下执行两次主观测试，以选择与多个应用程序屏幕快照的可见性相关的功能，并为同一应用程序屏幕快照选择令人满意的设备亮度范围。然后分析应用程序图像功能与令人满意的亮度水平之间的关系。此后，使用两个特征对图像进行分类：平均亮度和与令人满意的亮度相关的高级色彩比率。然后根据令人满意的设备亮度的最大频率选择每个类别的最佳设备亮度。实验结果表明，在各种光照条件下，具有最佳设备亮度的已分类应用图像产生了很高的满意度。 （C）2015年影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2015年第2期|020502.1-020502.9|共9页
  • 作者

    Kim Dae-Chul; Kang Dong-Wook; Kim Kyung-Mo; Ha Yeong-Ho;

  • 作者单位

    Kyungpook Natl Univ, Sch Elect Engn, Daegu 702701, South Korea;

    Samsung Elect Co Ltd, Software Ctr, Suwon 443732, South Korea;

    Samsung Elect Co Ltd, Software Ctr, Suwon 443732, South Korea;

    Kyungpook Natl Univ, Sch Elect Engn, Daegu 702701, South Korea;

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